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using open-source data, assess the reliability, transparency, and applicability of these models, and validate them through applicable use-cases. Where to apply Website https://www.academictransfer.com/en
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, United States of America [map ] Subject Areas: Development Economics / Resource Economics Climate Change Environmental Studies / Environmental Justice Marine Science / Marine Ecology Coastal Marine Environment / coastal
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 4 days ago
Development: Postdoc program, scientific training & career center with tailored offers Scientific Resources: State-of-the-art infrastruture and Core Facilities Recreation: 30 days annual leave, flexi days, plus
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 4 days ago
catch limit reached 10 times in the past 13 years, intensifying fishing pressure in neighbouring subareas, such as 48.2 (South Orkney Islands). A critical development occurred during the October 2024
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. Candidates should submit a cover letter, CV, research statement, teaching portfolio, and writing sample via Interfolio at https://apply.interfolio.com/175940 . We are seeking candidates who can demonstrate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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postdoctoral position is available in the ultrafast science theory group of Prof. Lun Yue (https://sites.google.com/binghamton.edu/yue/ ) at Binghamton University (State University of New York). The successful
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project AutoBorder – https://cordis.europa.eu/project/id/101225829 – funded under the EC Civil security for society workprogramme (border security and external security). A key aim of AutoBorder is to
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simulations. Data-driven materials discovery: ML models for property prediction, materials design, or synthesis optimization. AI/ML methods development: Neural networks, graph neural networks (GNNs), generative
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candidates which are explored in more depth. In particular you will work on the extension, development and analysis of new quantum algorithms for near-term and fault tolerant quantum computers for drug